| Autor: |
Chih-Hao Huang, Namita Mohandas, Aparna Raj, Susan Howard, Feras A. Batarseh |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Data & Policy, Vol 6 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2632-3249 |
| DOI: |
10.1017/dap.2024.16 |
| Popis: |
Precision healthcare is an emerging field of science that utilizes an individual’s health information, context, and genetics to provide more personalized diagnostics and treatments. In this manuscript, we leverage that concept and present a group of machine learning models for precision gaming. These predictive models guide adolescents through best practices related to their health. The use case deployed is for girls in India through a mobile application released in three different Indian states. To evaluate the usability of the models, experiments are designed and data (demographic, behavioral, and health-related) are collected. The experimental results are presented and discussed. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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